Abstract

Warranty claims data contain valuable information about the quality and reliability of products. The monitoring and early-warning of warranty claims data are of great significance to the manufacturer by identifying and solving the emerging quality or reliability problem as soon as possible. However, though it has been used widely in the automobile industry, there are no studies that have been carried out on the monitoring and early-warning of claims data for products sold with two-dimensional warranty. In order to fill this gap, fitting the two-dimensional warranty claims data with accelerated failure model (AFT), a multi-stage riskadjusted control chart is proposed by this paper, for which a reasonable product sales tracking time and a monitoring time are suggested to reduce the influence of sales delay and fluctuating claim rates. Comparing with traditional Cumulative Sum Control Chart (CUSUM), the applicability and availability of the proposed model are demonstrated in the final.

Highlights

  • In today’s competitive market, offering attractive warranty service has been used by many manufacturers to capture more market share and customers’ satisfaction

  • On the condition of fitting two-dimensional warranty claims data with Accelerated failure time model (AFT), a multi-stage risk-adjusted control chart is provided for the monitoring and early-warning of twodimensional warranty claims data

  • Claims data are the data collected during the servicing of claims under warranty, and supplement data are additional data that are needed for effective warranty management

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Summary

Introduction

In today’s competitive market, offering attractive warranty service has been used by many manufacturers to capture more market share and customers’ satisfaction. As warranty data contain valuable information about the quality and reliability of products, the use of appropriate statistical detection rules in a warranty database has the potential to identify or warn serious reliability problems long before they would otherwise be discovered [5] Detecting these problems, a month or even a week earlier, can effectively reduce tangible or intangible costs for the manufacturers, especially for products sold with two-dimensional warranty, such as automobile industry, the warranty cost of which is relatively expensive. On the condition of fitting two-dimensional warranty claims data with Accelerated failure time model (AFT), a multi-stage risk-adjusted control chart is provided for the monitoring and early-warning of twodimensional warranty claims data. Comparing with traditional CUSUM control chart, the availability and applicability of the proposed control chart are demonstrated by a case study

Modeling two-dimensional warranty claims data
Warranty claims data analysis
The multi-stage risk-adjusted control chart
Monitoring index
Risk adjustment for the multi-stage control chart
Product sales tracking time and monitoring time
Case study
Parameter estimation
Model applicability analysis
Parameter sensitivity analysis
Example analysis
Findings
Summary
Full Text
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